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Author

F. Gül

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Review Open access Aug 2026

Artificial-intelligence–based developmental screening for pre-school children (ages 3–6): a scoping review of deployed tools, clinical validity, equity, and implementation in guidance-center settings

Background Early identification of neurodevelopmental conditions during the pre-school years (ages 3–6) is critical for timely intervention, yet traditional questionnaire-based screeners suffer from low positive predictive value, late detection, and inequitable access. Artificial intelligence (AI) and machine-learning...

A. Arslan, F. Gül · 0 citations
Open access Sep 2026

Activation function saturation determines robustness to conductance nonlinearity in analog in-memory learning

This paper compares five activation functions on MNIST and Fashion-MNIST using an idealized software configuration and a hardware configuration parameterized by the measured conductance characteristics of a fabricated TiO 2 device, and inverts the one familiar from digital deep learning.

Baki Gökgöz, Tolga Aydın, F. Gül · 0 citations
Open access Sep 2026

Interpretable Machine Learning Prediction of the Dielectric Constant and Bandgap of Polymers for Flexible Electronics

An interpretable machine learning workflow is developed that predicts both the total dielectric constant and the HSE bandgap of polymer repeat units directly from a monomer structure, using an open density-functional-theory dataset of 284 four-block polymers.

F. Gül · 0 citations
Open access Jul 2026

Multitarget Antiproliferative Activity of Pituranthos scoparius: An Integrated Phytochemical, Biological and Computational Insights into Key Oncogenic Pathways

The combined experimental and computational findings provide mechanistic insights into P. scoparius activity and support its relevance within the context of natural product-based cancer therapy, highlighting its potential for further preclinical development.

S. Chabane, A. Boudjelal, L. Pulvirenti et al. · 0 citations

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